Paper 2025/640

Multi-Party Private Set Operations from Predicative Zero-Sharing

Minglang Dong, School of Cyber Science and Technology, Shandong University
Yu Chen, School of Cyber Science and Technology, Shandong University
Cong Zhang, Institute for Advanced Study, BNRist, Tsinghua University
Yujie Bai, School of Cyber Science and Technology, Shandong University, Qingdao 266237, China
Yang Cao, School of Cyber Science and Technology, Shandong University, Qingdao 266237, China
Abstract

Typical protocols in the multi-party private set operations (MPSO) setting enable parties to perform certain secure computation on the intersection or union of their private sets, realizing a very limited range of MPSO functionalities. Most works in this field focus on just one or two specific functionalities, resulting in a large variety of isolated schemes and a lack of a unified framework in MPSO research. In this work, we present an MPSO framework, which allows parties, each holding a set, to securely compute any set formulas (arbitrary compositions of a finite number of binary set operations, including intersection, union and difference) on their private sets. Our framework is highly versatile and can be instantiated to accommodate a broad spectrum of MPSO functionalities. To the best of our knowledge, this is the first framework to achieve such a level of flexibility and generality in MPSO, without relying on generic secure multi-party computation (MPC) techniques. Our framework exhibits favorable theoretical and practical performance. With computation and communication complexity scaling linearly with the set size , it achieves optimal complexity that is on par with the naive solution for widely used functionalities, such as multi-party private set intersection (MPSI), MPSI with cardinality output (MPSI-card), and MPSI with cardinality and sum (MPSI-card-sum), for the first time in the standard semi-honest model. Furthermore, the instantiations of our framework, which primarily rely on symmetric-key techniques, provide efficient protocols for MPSI, MPSI-card, MPSI-card-sum, and multi-party private set union (MPSU), with online performance that either surpasses or matches the state of the art in standard semi-honest model. At the technical core of our framework is a newly introduced primitive called predicative zero-sharing. This primitive captures the universality of a number of MPC protocols and is composable. We believe it may be of independent interest.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
Multi-Party Private Set OperationsMulti-Party Private Set IntersectionMulti-Party Private Set Union
Contact author(s)
minglang_dong @ mail sdu edu cn
yuchen prc @ gmail com
zhangcong @ mail tsinghua edu cn
baiyujie @ mail sdu edu cn
202437063 @ mail sdu edu cn
History
2025-04-15: last of 3 revisions
2025-04-08: received
See all versions
Short URL
https://ia.cr/2025/640
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2025/640,
      author = {Minglang Dong and Yu Chen and Cong Zhang and Yujie Bai and Yang Cao},
      title = {Multi-Party Private Set Operations from Predicative Zero-Sharing},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/640},
      year = {2025},
      url = {https://eprint.iacr.org/2025/640}
}
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